Extension of Space Syntax Methods to Generic Urban Variables
Bibliographic Data
| ID | 13113297 |
|---|---|
| Authors | Roberto D’Autilia (0000-0002-8338-8578, Roma Tre University, corresponding author), Marco Spada (0000-0002-6737-0941) |
| Year | 2018 |
| Volume | 2 |
| Issue | 3 |
| Pages | 82-82 |
| Publication date | 2018-08-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Science (JOURNAL) |
| Journal identifiers | ISSN: 2413-8851 • E-ISSN: 2413-8851 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/urbansci2030082 |
| OpenAlex | W2812364215 |
| Language | EN |
| References cited | 10 |
We studied generalization of a method for extending configurational studies to variables that are not exclusively geographical, in order to allow investigation of generic relationships in the built environment. We observed a number of limitations of the classical approach of configurational studies and we considered how a complex analytical method could be implemented in the study of non-topological variables, such as land use, noise pollution and financial or property rents. In order to do this, we established a system of relationships based on a labeled primary graph. Categorization of the labels of the links was performed on a generic variable, specifically, the predominant use of roads. The graph was then contracted using an optimization algorithm, which we describe. The algorithm allows the network to be reduced to a more streamlined system that can better analyze the relationships between the different categories. Application of the method showed that it is faster to identify weaknesses in urban networks, and then take measures to resolve them. The case study concerns the pedestrianization of the Colosseum area in Rome
Categorization · Data mining · Extension (predicate logic · Generalization · Graph · Space syntax · Syntax · Variable (mathematics · Computer Science · Land Use and Ecosystem Services · Mathematics · Sustainable Building Design and Assessment · Urban Design and Spatial Analysis · Artificial Intelligence · Theoretical Computer Science
| Highly cited | No |
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